Data Scientist
Argos · London
Data Scientist - Operational Research – Hybrid Working
This role is posted within the Marketing job family for internal system reasons, but the position itself sits in our central Data Science Hub (Data & Analytics). You’ll work on cross‑functional, high‑impact data science projects across areas including pricing, digital, supply chain and commercial—not marketing delivery.
What you’ll do:
We’re looking for a data science specialist with a particular interest in working on operations research problems. You’ll be working on one of the largest datasets in retail, delivering huge business impact, as part of a team that builds, deploys, and maintains cutting-edge data-products that drive competitive edge.
Stakeholder management
- Using non-technical language, tell engaging stories that influence business stakeholders
- Develop and maintain relationships with key internal customers and product owners
- Identify, scope and size data science and operations research opportunities across the Business
Technical delivery
- Understand and document relevant business processes and driving performance metrics
- Research, design and build decision models and algorithms
- Define data requirements, gather and validate data
- Work closely with engineering (DecisionOps) teams to align on robust production architectures that enable long-term support and iteration
- Design tests that quantify the computational and business performance in both digital and physical domains
Coaching and Mentoring
- Take a leading role in the development and delivery of team upskilling
- Share Operations Research expertise across the Data Science community
- Contribute to our vibrant Data and Analytics community of over 800 colleagues
What we’re looking for:
Academic profile
We typically look for candidates with a Master’s or PhD in a relevant quantitative field (e.g., maths or operational research). However, strong applicants with equivalent industry experience or a related scientific/engineering degree are also encouraged to apply.
Essential Criteria
- Passion for driving business impact through the application of Operational Research methods
- Excellent business acumen, commercial awareness, and judgement
- Ability to translate real-life problems into mathematical models - linear, non-linear, stochastic, etc.
- Broad knowledge across a range of mathematical optimisation and simulation techniques, as well as exact and heuristic solution methods
- Previous experience working with mathematical modelling libraries/platforms and solvers
Preferred experience
- Practical experience applying operational research techniques to deliver measurable business value or a strong publication record, with significant relevance to industry applications
- Experience with Agile team management methodologies (preferably Kanban)
- Familiarity with software engineering best practices including version control, CI/CD, testing
- Basic proficiency with SQL and Python
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